Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
DETAILED ACTION
Claims 13-23 and 30 are pending in the application.
Election/Restrictions
Applicant’s election without traverse of Group II invention including claims 13-23 and 30 in the reply filed on 4/6/26 is acknowledged.
Claim Objections
Claims 14, 18 and 23 are objected to because of the following informalities:
As to claims 14 and 18 - recitations of “a computing device” should read --the computing device-- since “a computing device” is established in claim 13 and all subsequent recitations referencing the computing device should consistently read or referred to as --the computing device--.
As to claim 23, “a rendering operation in in one…” should read --a rendering operation in one--.
Appropriate correction is required.
Claim Rejections - 35 USC § 112
The following is a quotation of 35 U.S.C. 112(b):
(b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention.
The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph:
The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention.
Claims 13-23 and 30 are rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor, or for pre-AIA the applicant regards as the invention.
As to claim 13, the following lacks antecedent basis: “the distributed computing environment”.
As to claims 14-23, these claims are rejected based on dependency.
As to claim 30, this claim is rejected for the same reason as claim 13 above. In addition, “the computing device” lacks antecedent basis.
Allowable Subject Matter
Claims 13-23 and 30 are allowable by overcoming the 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph rejection above.
The following is a statement of reasons for the indication of allowable subject matter:
The prior arts of record when taken individually or in combination do not expressly teach or render obvious, in the context of the claims taken as a whole, the invention as recited in independent claims 13 and 30.
Training local load data by edge computing nodes via LSTM based power consumption prediction model, a type of time cycle neural network, to predict power consumption [abstract, lines 2-8; section 3.1, line 1; section 2, lines 1-3]; receiving by a central node in a cloud environment, training parameters of each edge computing node, hence transmitted by the edge computing node(s) [abstract, lines 5-8; section 2, lines 1-3] was disclosed in “Power consumption prediction model and method based on federated learning” to Luo et al.. Deploying neural networks and achieving high performance of neural network inference on resource constrained devices by offloading or partitioning neural network computations between local device and remote neural network [abstract; p. 201, left column, line 1-right column, line 3] was disclosed in “Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI” to Huang et al.. Receiving data point from training dataset, data point including workload data and label of nodes workload was performed on and sufficiency of nodes for the workload, optimize model parameters from data point to train machine learning model to predict resource utilization for a workload and/or to recommend one or more nodes of a data center for the workload; using neural networks to predict one or more computing resources to perform one or more workloads [Fig. 19 and corresponding text] was disclosed in US PG Pub. 2024/0160491. The prior art(s) of record when taken individually or in combination do not expressly teach or render obvious the limitations “receiving, from the workload controller, an indication of a portion of a workload to be executed on the computing device based on a plurality of power neural networks including the trained power neural network; and executing the indicated portion of the workload” as a whole as recited in independent claim 13 and substantially in claim 30.
Neither a reference uncovered that would have provided a basis of evidence for asserting a motivation, nor one of ordinary skill in the art before the effective filing date of the claimed invention, knowing the teaching of the prior arts of record would have combined them to arrive at the present invention as recited in the context of independent claims 13 and 30 as a whole.
Any inquiry concerning this communication or earlier communications from the examiner should be directed to QING YUAN WU whose telephone number is (571)272-3776. The examiner can normally be reached M-F 9AM-6PM EST.
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/QING YUAN WU/Primary Examiner, Art Unit 2199
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